Literature DB >> 32853436

Cross-cultural similarities and differences in the theoretical predictors of cyberbullying perpetration: Results from a seven-country study.

Christopher P Barlett1, Luke W Seyfert1, Matthew M Simmers1, Vivian Hsueh Hua Chen2, Jaqueline Gomes Cavalcanti3, Barbara Krahé4, Kanae Suzuki5, Wayne A Warburton6, Randy Yee Man Wong7, Carlos Eduardo Pimentel8, Marika Skowronski4.   

Abstract

The Barlett Gentile cyberbullying model (BGCM) posits that correlated anonymity perceptions and the belief in the irrelevance of muscularity for online bullying (BIMOB) predict positive cyberbullying attitudes to predict subsequent cyberbullying perpetration. Much research has shown the BGCM to be the only published theory that differentiates traditional and cyberbullying while validly predicting cyberbullying. So far, however, the cross-cultural ubiquity has gone understudied. Thus, 1,592 adult participants across seven countries (USA, Australia, Brazil, China, Germany, Japan, and Singapore) completed measures germane to the BGCM. Supporting the BGCM, the variables were significantly correlated for the entire sample, participants from independent cultures, and participants from interdependent cultures. However, the relationship between BIMOB and positive cyberbullying attitudes as well as the relationship between positive cyberbullying attitudes and cyberbullying perpetration were stronger for independent cultures. These results suggest that the BGCM postulates are mostly universal, but several relations appear to be culturally different. Theoretical implications are discussed.
© 2020 Wiley Periodicals LLC.

Entities:  

Keywords:  anonymity; cross-cultural differences; culture; cyberbullying; cyberbullying attitudes

Year:  2020        PMID: 32853436     DOI: 10.1002/ab.21923

Source DB:  PubMed          Journal:  Aggress Behav        ISSN: 0096-140X            Impact factor:   2.917


  6 in total

1.  Mechanisms of Moral Disengagement in the Transition from Cybergossip to Cyberaggression: A Longitudinal Study.

Authors:  Daniel Falla; Rosario Ortega-Ruiz; Eva M Romera
Journal:  Int J Environ Res Public Health       Date:  2021-01-23       Impact factor: 3.390

2.  How Do Chinese People View Cyberbullying? A Text Analysis Based on Social Media.

Authors:  Shan Lu; Lingbo Zhao; Lizu Lai; Congrong Shi; Wanyue Jiang
Journal:  Int J Environ Res Public Health       Date:  2022-02-05       Impact factor: 3.390

3.  Testing a first online intervention to reduce conformity to cyber aggression in messaging apps.

Authors:  Daniëlle N M Bleize; Doeschka J Anschütz; Martin Tanis; Moniek Buijzen
Journal:  PLoS One       Date:  2022-08-09       Impact factor: 3.752

4.  Understanding Motivation, Career Planning, and Socio-Cultural Adaptation Difficulties as Determinants of Higher Education Institution Choice Decision by International Students in the Post-pandemic Era.

Authors:  Kun Zuo
Journal:  Front Psychol       Date:  2022-07-14

5.  Predictive Model of The Factors Involved in Cyberbullying of Adolescent Victims.

Authors:  Ligia Isabel Estrada-Vidal; Amaya Epelde-Larrañaga; Fátima Chacón-Borrego
Journal:  Front Psychol       Date:  2022-01-05

6.  Network Anonymity and Cyberbullying among Chinese Adolescents: A Moderated Mediation Model.

Authors:  Lingbo Zhao; Yingru Wu; Xiayu Huang; Lin Zhang
Journal:  Int J Environ Res Public Health       Date:  2022-01-06       Impact factor: 3.390

  6 in total

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